Create app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+
+genai.configure(api_key="AIzaSyAOLyWRegqB-NxufjTlkyRBhn1ESJE-G38")
+
+model = genai.GenerativeModel('gemini-pro')
+chat = model.start_chat(history=[])
+
+def get_llm_response(message):
+    response = chat.send_message(message)
+    print(response)
+    return response.text
+
+# Define Basic information for prompt
+base_info = """
+You are chatbot named "PathFinder", and your work is to give career guidance to the user. \
+You first greet the user. \
+Then collects the following information one by one: first country, then qualification, then area of interest, then career aspirations \
+and then you ask the user if he/she want to find a job or pursuing further studies or want to do a certificate course or to do an internship. \
+You respond in a short, very conversational friendly style. \
+Search the details online related to the information entered by user \
+At last, you ask for the user, if they have any further queries
+"""
+
+find_a_job = """If the user select to find a job, you search on internet and provide available jobs related to the information entered by user.\
+You also provide linkedIn assistance and resume building assistance to the user. \
+"""
+
+further_study = """If the user select to pursue further studies, you provide the relevant courses according to the country and higher studies of the user \
+You also provide links of websites to find the top colleges and universities which offers these courses. \
+You also provide the entrance exams specific to the user's country (e.g., SAT for US, NEET for India).
+"""
+
+certificate = """If the user select to do a certificate course or diploma course, you search on internet and provide top certificate courses links relevant to the user interest.\
+You also ask the user if they want to know more about the course or not. \
+"""
+
+internship = """If the user select to do a internship, you search on internet and provide available internships related to the information entered by user.\
+You also provide linkedIn assistance and resume building assistance to the user. \
+"""
+
+#create prompt
+context = [f"""
+{base_info} \
+{find_a_job} \
+{further_study} \
+{certificate}
+"""]
+
+#create welcome message
+context.append("")
+response = get_llm_response(context)
+
+#define communication function
+def bot(message, history):
+  prompt = message
+  context.append(prompt)
+  response = get_llm_response(context)
+  context.append(response)
+  return response
+
+# create gradio instance
+demo = gr.ChatInterface(fn=bot, title=response)
+# launch gradio chatbot
+demo.launch(debug=True, share=True)