Create app.py

app.py

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+import gradio as gr
+import requests
+import os
+
+# Hugging Face API Token (from secrets)
+API_TOKEN = os.getenv("HF_API_KEY")
+
+
+# Model Endpoint
+model = "mistralai/Mixtral-8x7B-Instruct-v0.1"  # Use a working instruct model
+api_url = f"https://api-inference.huggingface.co/models/{model}"
+
+# Headers
+headers = {"Authorization": f"Bearer {API_TOKEN}"}
+
+# Function to generate email response
+def generate_email_response(received_email, additional_context, tone="Professional and Polite"):
+    # Construct the prompt with additional context
+    prompt = f"""
+    The following is an email I received:
+
+    {received_email}
+
+    Additional context to consider:
+    {additional_context}
+
+    Please draft a response that is {tone}. Keep it concise and appropriate.
+
+    My response:
+    """
+
+    # API request payload
+    payload = {
+        "inputs": prompt,
+        "parameters": {"max_length": 400, "temperature": 0.7}
+    }
+
+    # Send request to HF API
+    response = requests.post(api_url, headers=headers, json=payload)
+
+    # Handle response
+    if response.status_code == 200:
+        generated_text = response.json()[0]["generated_text"]
+
+        # **Trim the response** to remove the echoed prompt
+        if "My response:" in generated_text:
+            generated_text = generated_text.split("My response:")[-1].strip()
+
+        return generated_text
+    else:
+        return "Error: " + response.json().get("error", "Unknown issue occurred.")
+
+
+# Example email
+example_email = """Subject: Request for Collaboration on AI Research
+
+Dear Walid,
+
+I hope you are doing well. My team and I have been following your recent work on hybrid neural networks and FLOPs-aware optimization. We are very interested in collaborating on a research project that explores the application of your techniques in low-resource environments.
+
+Would you be available for a meeting next week to discuss potential collaboration opportunities? Please let us know your availability.
+
+Looking forward to your response.
+
+Best regards,
+John Smith
+AI Research Lead, Tech Innovations Inc."""
+
+# Example additional context
+example_context = """I am available on Monday, Wednesday, and Friday from 2 PM to 5 PM.
+I prefer virtual meetings via Zoom or Google Meet."""
+
+# Gradio Web Interface
+with gr.Blocks() as demo:
+    gr.Markdown("## AI-Powered Email Responder (with Context)")
+    gr.Markdown("Enter an email, and the model will generate a response in your selected tone. You can also add additional context, such as your availability.")
+
+    with gr.Row():
+        received_email = gr.Textbox(label="Received Email", lines=10)
+        additional_context = gr.Textbox(label="Additional Context (Availability, Preferences, etc.)", lines=5)
+
+    tone = gr.Radio(
+        ["Professional and Polite", "Friendly and Casual", "Formal and Concise"],
+        label="Tone of Response",
+        value="Professional and Polite"
+    )
+
+    output_response = gr.Textbox(label="Generated Response", lines=6)
+
+    generate_button = gr.Button("Generate Response")
+    generate_button.click(generate_email_response, inputs=[received_email, additional_context, tone], outputs=output_response)
+
+    # Add example input as a predefined example
+    gr.Examples(
+        examples=[
+            [example_email, example_context, "Professional and Polite"]
+        ],
+        inputs=[received_email, additional_context, tone],
+    )
+
+# Launch the Gradio app
+demo.launch()
+