Update app.py

app.py

@@ -11,40 +11,7 @@ import random
 import pandas as pd
 from datetime import datetime
 
-default_lang = "en"
-engines = { default_lang: Model(default_lang) }
-
-def transcribe(audio):
-    lang = "en"
-    model = engines[lang]
-    text = model.stt_file(audio)[0]
-    return text
-
-HF_TOKEN = os.environ.get("HF_TOKEN", None)
-
-def client_fn(model):
-    if "Mixtral" in model:
-        return InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
-    elif "Llama" in model:
-        return InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct")
-    elif "Mistral" in model:
-        return InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
-    elif "Phi" in model:
-        return InferenceClient("microsoft/Phi-3-mini-4k-instruct")
-    else: 
-        return InferenceClient("microsoft/Phi-3-mini-4k-instruct")
-
-def randomize_seed_fn(seed: int) -> int:
-    seed = random.randint(0, 999999)
-    return seed
-
-system_instructions1 = """
-[SYSTEM] Answer as Real Jarvis JARVIS, Made by 'Tony Stark.' 
-Keep conversation friendly, short, clear, and concise. 
-Avoid unnecessary introductions and answer the user's questions directly. 
-Respond in a normal, conversational manner while being friendly and helpful.
-[USER]
-"""
+# ... (previous code remains the same)
 
 # Initialize an empty DataFrame to store the history
 history_df = pd.DataFrame(columns=['Timestamp', 'Request', 'Response'])
@@ -71,7 +38,7 @@ def models(text, model="Mixtral 8x7B", seed=42):
     
     # Add the current interaction to the history DataFrame
     new_row = pd.DataFrame({
-        'Timestamp': [datetime.now()],
+        'Timestamp': [datetime.now().strftime("%Y-%m-%d %H:%M:%S")],  # Convert to string
         'Request': [text],
         'Response': [output]
     })
@@ -94,54 +61,7 @@ def display_history():
 def download_history():
     return history_df.to_csv(index=False)
 
-DESCRIPTION = """ # <center><b>JARVIS⚡</b></center>
-        ### <center>A personal Assistant of Tony Stark for YOU
-        ### <center>Voice Chat with your personal Assistant</center>
-        """
-
-with gr.Blocks(css="style.css") as demo:    
-    gr.Markdown(DESCRIPTION)
-    with gr.Row():
-        select = gr.Dropdown([ 'Mixtral 8x7B',
-        'Llama 3 8B',
-        'Mistral 7B v0.3',
-        'Phi 3 mini',
-    ],
-    value="Mistral 7B v0.3",
-    label="Model"
-    )
-        seed = gr.Slider(
-        label="Seed",
-        minimum=0,
-        maximum=999999,
-        step=1,
-        value=0,
-        visible=False
-        )
-        input = gr.Audio(label="User", sources="microphone", type="filepath", waveform_options=False)
-        output = gr.Audio(label="AI", type="filepath",
-                        interactive=False,
-                        autoplay=True,
-                        elem_classes="audio")
-    
-    # Add a DataFrame to display the history
-    history_display = gr.DataFrame(label="Query History")
-    
-    # Add a download button for the history
-    download_button = gr.Button("Download History")
-    
-    gr.Interface(
-        batch=True,
-        max_batch_size=10, 
-        fn=respond, 
-        inputs=[input, select, seed],
-        outputs=[output], live=True)
-    
-    # Update the history display after each interaction
-    output.change(fn=display_history, outputs=[history_display])
-    
-    # Connect the download button to the download function
-    download_button.click(fn=download_history, outputs=[gr.File(label="Download CSV")])
+# ... (rest of the code remains the same)
 
 if __name__ == "__main__":
-    demo.queue(max_size=200).launch()
+    demo.queue(max_size=200).launch(share=True)  # Added share=True for public link