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Browse files- app.py +87 -0
- requirements.txt +4 -0
app.py
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import os
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import streamlit as st
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from langchain.prompts import PromptTemplate
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from dotenv import load_dotenv
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import google.generativeai as genai
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain.prompts import PromptTemplate
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# Load environment variables from .env file
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load_dotenv()
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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model_gemini = ChatGoogleGenerativeAI(model="gemini-pro")
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def model(genre,no_of_characters,location,characters_prompt,hook_prompt,climax_prompt):
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# here we are creating a template for the prompt
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main_c = """
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Crafting a compelling short film necessitates a concise and straightforward premise, a key ingredient for success when storytelling within the constraints of a limited timeframe. The best short films often feature a main character with a specific goal or a tight deadline, such as two friends embarking on a bike ride, a woman seeking new friendship, or a grieving son delivering a eulogy. With time being a precious commodity, short films cannot afford to delve extensively into character backstories. Instead, filmmakers must discern the essential information required to engage the audience in the hero's journey.
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Details like an ex-husband may prove extraneous and dilute the impact of the narrative.Moreover, judiciously selecting the number of characters is pivotal.
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Each character, whether a protagonist, supporting role, or minor part, should serve a purpose directly tied to the central goal.
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If a character's exclusion doesn't impede the main character's progression,
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it might be prudent to omit them. Many successful short films unfold within a singular location, not only to streamline the story but also to mitigate budgetary constraints,
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particularly for independent filmmakers. "Sam Did It," a renowned 10-minute short set entirely in a morgue operating room, exemplifies how a confined space can intensify the storytelling experience.
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A useful exercise during brainstorming involves formulating a premise and identifying a single location, prompting creators to contemplate whether the entire narrative can unfold within those confines.
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This approach not only sharpens the focus but also aligns with budget considerations for those contemplating a self-produced project.
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"""
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template = main_c +"""
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write a short film story in {genre} genre with {no_of_characters} characters in {location} location
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Consider being economical with characters and backstory There are {characters_prompt} characters and their behaviours. This is the hook {hook_prompt}
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and this is the climax {climax_prompt}
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"""
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# here we are creating a prompt using the template and the input variables
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prompt = PromptTemplate(input_variables=["genre","no_of_characters","location","characters_prompt","hook_prompt","climax_prompt"],template=template)
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# here we are generating the blog
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response = model_gemini.invoke(prompt.format(genre=genre,no_of_characters=no_of_characters,location=location,characters_prompt=characters_prompt,hook_prompt=hook_prompt,climax_prompt=climax_prompt))
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print(response)
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return response.content
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def short_film_story_generator(genre):
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st.title("Short Film Story Generator")
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# Prompt for being economical with characters and backstory
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no_of_characters = st.text_input("How many character do you want? (leave empty for default of 4 characters):")
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if not no_of_characters:
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# Default characters if the user leaves it empty
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no_of_characters = "The story follows four characters who..."
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# Prompt for minimal locations
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location = st.text_input("Think about keeping the locations to a minimum. Specify a key location for your short film (leave empty for random location):")
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if not location:
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# Default location if the user leaves it empty
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location = "You can use any location you want"
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# Prompt for interesting characters
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characters_prompt = st.text_input("Describe interesting traits or quirks of the main characters:")
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if not characters_prompt:
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characters_prompt = "You can use any interesting traits or quirks you want"
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# Prompt for the hook
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hook_prompt = st.text_input("Create a hook for your short film:")
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if not hook_prompt:
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# Default hook if the user leaves it empty
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hook_prompt = "You can use any hook you want"
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# Prompt for the climax
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climax_prompt = st.text_input("Develop a great climax for your short film:")
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if not climax_prompt:
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climax_prompt = "You can use climax you want but should match with the genre"
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if st.button("Generate Story"):
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response = model(genre,no_of_characters,location,characters_prompt,hook_prompt,climax_prompt)
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# Extract the AI's response and display it
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ai_response = response
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st.write(f"{ai_response}")
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if __name__ == "__main__":
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genres = ["Sci-Fi", "Drama", "Comedy", "Thriller", "Mystery", "Fantasy", "Horror", "Romance", "Action", "Adventure"]
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# Create a dropdown menu for genres
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user_genre = st.sidebar.selectbox("Select the genre:", genres, index=genres.index("Sci-Fi"))
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short_film_story_generator(user_genre)
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requirements.txt
ADDED
@@ -0,0 +1,4 @@
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google-generativeai
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streamlit
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python-dotenv
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langchain
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