Create app.py

app.py

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+import gradio as gr
+from langchain import PromptTemplate, LLMChain
+from langchain import HuggingFaceHub
+
+repo_id = "tiiuae/falcon-7b-instruct"
+llm = HuggingFaceHub(huggingfacehub_api_token=HUGGINGFACE_API_TOKEN, 
+                     repo_id=repo_id, 
+                     model_kwargs={"temperature":0.7, "max_new_tokens":700})
+
+template = """
+You are a helpful AI assistant and provide the answer for the question asked politely.
+
+{question}
+Answer: Let's think step by step.
+"""
+prompt = PromptTemplate(template=template, input_variables=["question"])
+llm_chain = LLMChain(prompt=prompt, llm=llm)
+
+# Define the function that will be used in Gradio
+def generate_answer(question):
+    answer = llm_chain.run(question)
+    return answer
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=generate_answer,
+    inputs=gr.inputs.Textbox(),
+    outputs=gr.outputs.Textbox(),
+    title="VSP Bot",
+    description="Created by VSP",
+)
+
+# Launch the Gradio interface
+iface.launch()