Create app.py

app.py

@@ -0,0 +1,35 @@
+import whisper
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts import PromptTemplate
+from langchain.chains import LLMChain
+
+
+# Step 1: Load the Whisper model
+model = whisper.load_model("base")
+
+# Step 2: Function to convert speech to text
+def speech_to_text(audio_file_path):
+    result = model.transcribe(audio_file_path)
+    return result["text"]
+
+# Step 3: Use LangChain for further processing
+def process_text_with_langchain(text):
+    # Define a simple prompt template and LLM
+    prompt_template = "Translate the following text to French: {text}"
+    prompt = PromptTemplate(input_variables=["text"], template=prompt_template)
+    
+    llm = ChatOpenAI(model="gpt-4")
+    chain = LLMChain(llm=llm, prompt=prompt)
+    
+    # Generate output
+    return chain.run(text)
+
+# Example usage
+audio_file_path = "path_to_your_audio_file.wav"
+text = speech_to_text(audio_file_path)
+print("Transcribed Text:", text)
+
+# Further processing with LangChain
+translated_text = process_text_with_langchain(text)
+print("Translated Text:", translated_text)
+