|
|
|
import openai |
|
import gradio as gr |
|
import os |
|
|
|
open_ai_key = os.environ["open_ai_key"] |
|
|
|
openai.api_key = open_ai_key |
|
|
|
def openai_chat(prompt): |
|
completions = openai.Completion.create( |
|
engine="text-davinci-003", |
|
prompt=prompt, |
|
max_tokens=1024, |
|
n=1, |
|
temperature=0.5, |
|
) |
|
|
|
message = completions.choices[0].text |
|
return message.strip() |
|
|
|
def build_type_1(content_url, Email_Type, industry,theme, keywords,job_role,prospect_context): |
|
return f"Write a {Email_Type} email to sell servicenow product to a prospect in {industry} based on their information extracted from {prospect_context} by analyzing and summarizing this content {content_url} around {keywords} focusing on {theme} and is relevant for job {job_role}" |
|
|
|
def build_type_2(content_url, Email_Type, industry,theme, keywords,job_role,prospect_context): |
|
return f"Write a {Email_Type} email to sell servicenow product to a prospect in {industry} based on their information extracted from {prospect_context} by analyzing and summarizing this content {content_url} around {keywords} focusing on {theme} and is relevant for job {job_role}.Start with congratulating {job_role} for the new role" |
|
|
|
def build_prod_upgrade_yes(content_url, Email_Type, industry,theme, keywords,job_role,prospect_context): |
|
return f"Write a {Email_Type} email to inform on new product update for servicenow to a prospect in {industry} based on their information extracted from {prospect_context} by analyzing and summarizing this content {content_url} around {keywords} focusing on {theme} and is relevant for job {job_role}.Start with congratulating {job_role} for the new role" |
|
|
|
def build_prod_upgrade_no(content_url, Email_Type, industry,theme, keywords,job_role,prospect_context): |
|
return f"Write a {Email_Type} email to inform on new product update for servicenow to a prospect in {industry} based on their information extracted from {prospect_context} by analyzing and summarizing this content {content_url} around {keywords} focusing on {theme} and is relevant for job {job_role}." |
|
|
|
def call_email(Email_Type,industry,keywords, theme, content_url,job_role_change, job_role,prospect_context, history=[]): |
|
if job_role_change=="Yes": |
|
if Email_Type=="Product Upgrade Communication": |
|
input_agg = build_prod_upgrade_yes(content_url,Email_Type, industry,theme, keywords, job_role,prospect_context) |
|
else: |
|
input_agg = build_type_2(content_url,Email_Type, industry,theme, keywords, job_role,prospect_context) |
|
elif job_role_change=="No": |
|
if Email_Type=="Product Upgrade Communication": |
|
input_agg = build_prod_upgrade_no(content_url,Email_Type, industry,theme, keywords, job_role,prospect_context) |
|
else: |
|
input_agg = build_type_1(content_url,Email_Type, industry,theme, keywords, job_role,prospect_context) |
|
print(input_agg) |
|
output = openai_chat(input_agg) |
|
history=[] |
|
history.append((Email_Type, output)) |
|
return history, history |
|
|
|
gr.Interface(fn = call_email, |
|
inputs = [gr.Radio(["First Touch", "Persuasive", "Followup","Event Invitation","New Launch Communication", "Product Upgrade Communication"],value="First Touch"),"text","text","text","text",gr.Dropdown(["Yes", "No"],value="No"),"text",'text','state'], |
|
outputs = ["chatbot",'state']).launch(debug = True) |
|
|
|
|
|
gr.launch(share=True) |
