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.env

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+OPENAI_API_KEY=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

.gitignore

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+.env

app.py

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+from openai import OpenAI
+import gradio as gr
+from math import floor, log10
+import dotenv
+dotenv.load_dotenv()
+import os
+
+# Initialize OpenAI API
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+    
+def generate_together_tv_email_response(email_content, bullet_points, tone, model_choice):
+    """
+    Generate a coherent email response based on user-provided bullet points and optional tone,
+    incorporating TogetherTV's values and contextual awareness.
+    """
+
+    # Analyze email content and prepare the prompt
+    tone_statement = f"\n\nTone: {tone}" if tone else ""
+    model_choice = model_choice if model_choice else "gpt-3.5-turbo"
+    
+    prompt = (
+        f"Email context: {email_content}\n\n"
+        f"Bullet Points: {bullet_points}{tone_statement}\n\n"
+        "Draft a polite and professional email response, "
+        "aligned with TogetherTV's values, ending with a signature from the TogetherTV team."
+    )
+
+    # Use OpenAI API to generate email response
+    try:
+        response = client.chat.completions.create(
+        model=model_choice,#"gpt-3.5-turbo",#"gpt-4",
+        messages=[
+            {
+            "role": "system",
+            "content": (
+                "This is an email response generation task. You will be provided with an email context, "
+                "specific bullet points summarizing the user's query or feedback, and the desired tone of the response. "
+                "Your task is to draft a coherent and professional email response that addresses the bullet points, "
+                "aligns with the tone specified, and reflects the ethos and values of TogetherTV, a TV channel committed to social change and community engagement. "
+                "End the response with a polite closing and a signature from the TogetherTV team."
+            )
+            },
+            {
+            "role": "user",
+            "content": prompt
+            }
+        ],
+        temperature=0.7,
+        max_tokens=500,
+        top_p=1
+        )
+        complete_response = response.choices[0].message.content
+
+        # Calculate token usage price
+        cost = calculate_token_usage_price(response, model_choice)
+
+        # Return response content and cost
+        return complete_response, cost
+
+    except Exception as e:
+        print(f"An error occurred: {e}")
+        return str(e)
+
+def sig_figs(x: float, precision: int):
+    """
+    Rounds a number to number of significant figures
+    Parameters:
+    - x - the number to be rounded
+    - precision (integer) - the number of significant figures
+    Returns:
+    - float
+    """
+
+    x = float(x)
+    precision = int(precision)
+
+    return round(x, -int(floor(log10(abs(x)))) + (precision - 1))
+
+def calculate_token_usage_price(response, model_choice):
+    tokens_input=response.usage.prompt_tokens
+    tokens_output=response.usage.prompt_tokens
+
+    if model_choice == "gpt-3.5-turbo":
+        rate_input = 0.0010 / 1000
+        rate_output = 0.0020 / 1000
+    else:
+        rate_input = 0.03 / 1000
+        rate_output = 0.06 / 1000
+
+    cost = tokens_input * rate_input + tokens_output * rate_output
+    return sig_figs(cost,2)
+
+
+def gradio_interface():
+    interface = gr.Interface(
+        fn=generate_together_tv_email_response,
+        inputs=[
+            "textarea", # Email content
+            "textarea", # Bullet Points
+            "text",      # Tone
+            gr.Dropdown(["gpt-3.5-turbo", "gpt-4"], label="Choose Model")
+        ],
+        #outputs=["textarea","number"],
+        outputs=[
+            gr.components.Textbox(label="Email Response"),
+            gr.components.Textbox(label="Cost Estimate ($)")
+        ],
+        title="AI Email Response Generator",
+        description="Generate email responses using AI. Choose a model, then input the email context, bullet points, and optional tone for the response."
+    )
+    interface.launch(share=True)
+
+if __name__ == "__main__":
+    gradio_interface()

requirements.txt

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+openai
+gradio
+python-dotenv

script.sh

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+git init
+git add .
+git commit -m "first commit"
+git branch -M main
+git remote add origin https://github.com/alexkstern/ttvemaildrafter.git
+git push -u origin main