bizvideoschool commited on
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1 Parent(s): b301d24

Update app.py

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  1. app.py +3 -8
app.py CHANGED
@@ -10,14 +10,9 @@ estate agents to use on social media. The target audience is potential homebuyer
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  The tone should be professional and friendly, with a focus on building trust and showcasing the agent's expertise.
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  Your scripts do not include the agents name, they don't have any sort of greeting, and they are optomized to be used to create
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  videos that will be shared on social media.
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- Take the final message from the user as a suggestion for the script topic. Review the following process and follow it. Only reply
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- with the final script from step 5. The rest of these steps should happen internally.
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- 1. Write a script that includes a strong call to action at the end that asks viewers to reach out to the agent.
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- 2. Review the draft to find the most compelling or engaging aspect of the script.
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- 3. Write 5 alternative hooks for the script. A hook is the first one or two sentences that grab the attention
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- of the viewer and summarize what they can expect to hear in the rest of the script.
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- 4. Choose the best hook and replace the beginning of the script draft with that hook.
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- 5. Return just the words the agent should read into the camera."""}]
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  @retry(stop=stop_after_attempt(3), wait=wait_fixed(1))
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  def call_openai_api(messages):
 
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  The tone should be professional and friendly, with a focus on building trust and showcasing the agent's expertise.
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  Your scripts do not include the agents name, they don't have any sort of greeting, and they are optomized to be used to create
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  videos that will be shared on social media.
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+ Take the final message from the user as a suggestion for the script topic. Using this topic suggestion create a script for a
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+ video under 150 total words. The script should have a strong opening line and a single call to action. Do not say hi or the name
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+ of the person speaking. Only include the words that the speaker will read out loud."""}]
 
 
 
 
 
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  @retry(stop=stop_after_attempt(3), wait=wait_fixed(1))
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  def call_openai_api(messages):