Create app.py

app.py

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+import streamlit as st
+import speech_recognition as sr
+from transformers import pipeline
+from tts import TTS  # Hugging Face TTS model
+import requests
+
+# Load the chatbot model
+chatbot = pipeline("conversational", model="facebook/blenderbot-400M-distill")
+
+# Function to convert speech to text
+def speech_to_text():
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        st.info("Listening...")
+        audio = recognizer.listen(source)
+        try:
+            text = recognizer.recognize_google(audio)
+            return text
+        except sr.UnknownValueError:
+            return "Sorry, I could not understand the audio."
+        except sr.RequestError:
+            return "Speech recognition service is not available."
+
+# Function to generate avatar video
+def generate_avatar_video(text_response):
+    # Call the API of an avatar service (e.g., D-ID, Synthesia)
+    api_url = "https://api.example.com/generate-avatar"
+    payload = {"text": text_response}
+    response = requests.post(api_url, json=payload)
+    video_url = response.json().get("video_url")
+    return video_url
+
+st.title("🗣️ Live Video Chatbot")
+
+# Button to start recording
+if st.button("Speak"):
+    user_input = speech_to_text()
+    if user_input:
+        st.write(f"**You:** {user_input}")
+        # Generate chatbot response
+        bot_response = chatbot(user_input)
+        response_text = bot_response[0]["generated_text"]
+        st.write(f"**Bot:** {response_text}")
+        
+        # Generate avatar video
+        video_url = generate_avatar_video(response_text)
+        
+        # Display the video response
+        st.video(video_url)