create app.py

app.py

@@ -0,0 +1,35 @@
+from langchain.chains import LLMChain
+from langchain.llms import OpenAI
+import gradio as gr
+from dotenv import load_dotenv
+
+load_dotenv() 
+def generate_questions(resume,role='',experience=''):
+    _PROMPT_TEMPLATE = """
+    this is the resume of user:
+    {resume_details}
+
+    here is the role he want to join in :
+    {role}
+
+    Based on the following experience:
+    {experience}
+
+    What are your interview  questions for the given user resume and role he want to join in with that experience?
+    generate no of  questions = {questions}!
+    """
+    PROMPT = PromptTemplate(input_variables=["resume_details", "role", "experience",'questions'], template=_PROMPT_TEMPLATE)
+  
+    llm1 = OpenAI(model_name="text-davinci-003", temperature=0)
+    chain = LLMChain(llm=llm1, prompt=PROMPT)
+    prompt = chain.predict_and_parse(resume_details= gen_text(resume),
+    role= role,
+    experience= experience,
+      questions=10)
+    return prompt.split('\n')
+k=gr.Interface(
+    fn=generate_questions,
+    inputs=['json','text','text'],
+    outputs=['text']
+)
+k.launch()